Clinton D.

I’m Clinton, a Data Scientist with 8+ years of hands-on experience in data engineering, analytics, and automation. My focus is on creating reproducible, scalable, and impactful data solutions, from interactive dashboards to automated pipelines and predictive models. 💡 Core Expertise 🗺 Spatial & Geospatial Analytics - Advanced spatial workflows using R, Python, and Google Earth Engine - Poverty and vulnerability mapping using small area estimation and related methods - Disaster risk and impact modeling, including flood, drought, and displacement analytics - End-to-end geospatial data engineering, from data extraction and transformation to automated spatial pipelines and managing geospatial databases with PostgreSQL/PostGIS, and DuckD - Handling diverse geospatial data formats: GeoTIFF, shapefiles, GeoJSON, and satellite imagery - High-quality cartographic visualization and interactive mapping with R (leaflet, ggplot2), Python (geopandas, folium), Google Earth Engine Apps, and Shiny dashboards 📊 Data Visualization & Dashboards - Expert in R Shiny, Power BI, and Looker Studio — building interactive, data-driven dashboards that translate complex insights into compelling visuals - Specialized in high-performance Shiny apps, leveraging asynchronous programming (callr, future, mirai) and reactive optimization for smooth, scalable user experiences - Strong grasp of UI/UX design principles — crafting dashboards that are intuitive, visually engaging, and tailored to end-user needs - Custom branding and theming to align dashboards seamlessly with client identity and design guidelines - Skilled in advanced data visualization using ggplot2, plotly, and leaflet, combining aesthetic storytelling with analytical rigor - Integration of geospatial layers (maps, raster tiles, and dynamic spatial filters) into dashboards for location-aware insights - End-to-end dashboard automation and deployment, including: Continuous integration with GitHub Actions, Docker, and webhooks - Secure hosting via Shiny Server, ShinyProxy, or cloud-based containers - Expertise in data pipeline integration, connecting dashboards directly to live databases (PostgreSQL, DuckDB, APIs) for automated updates and reproducibility - Full dashboard deployment on Shiny Server / ShinyProxy deployment, and CI/CD integration ⚙️ Data Engineering & Automation - End-to-end pipelines using R, Python, and Bash scripting - CI/CD with GitHub Actions, Docker, and webhooks - Async workflows with callr, future, and promises - Databases: PostgreSQL, MySQL, SQLite, and DuckDB 🤖 Machine Learning & MLOps - Predictive modeling with xgboost, caret, scikit-learn, and TensorFlow - Reproducible model management - Automated retraining and REST API integration 🌍 Trusted by Global Organizations I’ve supported data-driven decision-making for organizations such as UNICEF, FCDO, IFAD, CGIAR, and the Green Climate Fund, delivering projects spanning poverty mapping, forest monitoring, displacement analysis, and renewable energy modeling. 🤝 Why Work With Me 1. I listen first: to understand your goals and challenges clearly. 2. I collaborate transparently, providing regular updates and clear timelines. 3. I deliver reliably: production-ready, efficient, and well-documented work.